Top Hybrid Data Engineering Jobs in Dallas-Fort Worth, TX

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

Manage the Data Lake engineering team at Apex Fintech Solutions, driving technical initiatives, collaborating with stakeholders, and ensuring scalable data solutions. Responsibilities include team leadership, Agile facilitation, technical strategy, risk management, and establishing best practices in data engineering.

Responsible for designing and optimizing data warehouses and ETL architecture, analyzing BI data, capturing requirements, and providing technical guidance and support.

The role involves leading data architecture strategies and driving innovation in data solutions while ensuring compliance with governance policies. Responsibilities include translating data requirements into technical plans, overseeing advanced data technologies, and fostering collaboration among stakeholders.

The Data Solutions Specialist manages customer variable data for printed labeling, integrating it into software solutions, conducting software demos, and ensuring successful project implementation.

Manage data engineering functions, including the development and deployment of data processing technologies for analytics and machine learning, while leading a team and maintaining system performance.

As a Data Architect, lead teams in modern data architecture and engineering, develop data pipelines, mentor juniors, and engage in client communication to enhance business solutions.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

The Analytics Engineer builds and maintains data models for analytics, ensuring data quality and enabling self-service insights for analysts across the organization.